Job Details and Responsibilities
Lemongrass Consulting is seeking an experienced Principal SAP Data Architect who is experienced in solutioning, building high performing data teams and self-driven thought leader. The architect will be responsible for Legacy BW analysis, Target Databricks and BDC data modeling, fitment assessments, and remediation planning, and must have deep expertise in BDC, BW metadata, Azure and GCP Lakehouse architecture, and reporting structures.

This role is highly analytical and spans both traditional BW landscapes and next-generation SAP data platforms. The ideal candidate will have solid functional knowledge of SAP BW/BW4HANA combined with an understanding of SAP Datasphere and SAP Business Data Cloud (BDC) concepts — including Databricks, data products, semantic modeling, lineage, and cross-system integration.

The architect will play a key role in evaluating BW objects for S/4 compatibility, mapping data flows to Datasphere/BDC architectures, and supporting reporting landscape rationalization across SAP and cloud ecosystems.



This includes analyzing data lineage, object lifecycle dependencies, and opportunities to transition legacy BW workloads into modern, cloud-based data models.

Key Responsibilities
Lead comprehensive SAP BW landscape analysis and remediation activities related to S/4HANA program impacts, including alignment with future-state BDC and Lakehouse architectures.
Conduct detailed user activity and BW object usage analysis using ST03N, RSR, RSZ logs, and metadata to inform modernization and migration decisions.
Perform top-down and bottom-up BW object lineage analysis — from BEx Queries through InfoProviders to DataSources — at the field and transformation level.
Identify, classify, and rationalize active, inactive, and redundant BW objects; contribute to disposition and modernization strategy across BW, Databricks, Datasphere, and BDC.
Map BEx queries and BW reporting objects to downstream consumer systems (Power BI, SA

📌 Principal SAP Data Architect (India)
🏢 Lemongrass
📍 India